"Cross-platform coverage" is the most underrated dimension in the GEO Score, because different LLMs structurally prefer different content — a single piece rarely wins everywhere.
Western mainstream
- ChatGPT / Claude / Gemini / Perplexity / Bing Copilot
- Shared preferences: answer-first, verifiable citation, structured markup (schema.org).
- Retrieval sources: English authoritative media, Wikipedia, official sites, technical forums, Reddit.
- Decision weight: domain authority is partly inherited from the SEO era.
Chinese mainstream
- Doubao / Kimi / DeepSeek / ERNIE / Qwen
- Shared preferences: clean hierarchy, named entities, paired Q–A structure.
- Retrieval sources: WeChat Public Account, Zhihu, official sites, Channels videos.
- Decision weight: schema.org has limited impact; H tags + cross-citations from authoritative accounts matter more.
Side-by-side
| Dimension | Western | Chinese |
|---|---|---|
| Answer-first opener | Strong preference | Preferred |
| schema.org | Strong | Weak |
| Wikipedia weight | Strong | Weak |
| WeChat / Zhihu | Weak | Strong |
| Multilingual | EN by default | ZH by default |
| Risk-control strictness | Medium | High |
Operating principles
- Do not write one README for all platforms — one fact base, two synthesizers.
- Do not watch a single platform — monitor at least 5 Western + 5 Chinese LLMs.
- Do not ignore account lifecycle — Chinese LLM accounts hit rate limits and expire often; bake fault tolerance into monitoring.
Up next
Chapter 3 dives into the GEO Score 7-dimension framework — turning "coverage" into a disclosable number.